• Saibhargav S Rapol
• Aniket M Jagtap
• Monali A Patil

This review paper introduces a novel Training and Placement Management System (TPMS) designed for college websites, utilizing the MERN stack. It explores existing literature on similar systems, delves into methodologies of predictive analytics and machine learning for placement forecasting, and details the architecture and deployment of the proposed MERN-based solution. Leveraging MongoDB, Express.js, React, and Node.js, TPMS aims to provide a comprehensive, user-friendly experience for students, recruiters, and administrators, facilitating student profile management, job listings, application tracking, and administrative oversight. This paper underscores the importance of TPMS in bridging the academia-industry divide, enhancing placement rates, and fostering career opportunities for college students

MERN Base MongoDB, Express.js, React, Node.js. Full-stack development, NoSQL database, Web framework, JavaScript libraries, Access control, Student interface, Hiring professionals, college management, User-centered interface.

"Review of Web portal for Training and Placement Campus Recruitment System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.g729-g733, April-2024, Available :http://www.jetir.org/papers/JETIR2404692.pdf

"Review of Web portal for Training and Placement Campus Recruitment System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppg729-g733, April-2024, Available at : http://www.jetir.org/papers/JETIR2404692.pdf